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<title>Experiments Design</title>

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  <p><b>Preprocessing methods</b></p>

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<p>This category includes several preprocessing methods:</p>

<p align="center"><img src="imag/experiments/preprocess1.jpg"></p> 

<ul> 
	<li><b>Data Transform</b>: Methods for transforming the format of data: Nominal to binary, decimal scaling..</li>
	<li><b>Discretizers</b>: Method to convert real or numeric data into nominal data.</li>
	<li><b>Feature Selection</b>: Methods to select features of the data.</li>
	<li><b>Instance Generation</b>: Methods to generate new instances from the original instances of the data set.</li>
	<li><b>Instance Selection</b>: Methods to select instances of the data.</li>
	<li><b>Missing Values</b>: Methods to asses data containing missing values.</li>
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<p>To add any preprocessing method to the current experiment, it is only needed to select it and click in the graph of the experiment:</p>

<p align="center"><img src="imag/experiments/preprocess2.jpg"></p>  

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